About This Episode
Today we’re joined by Eric Rice, associate professor at USC, and the co-director of the USC Center for Artificial Intelligence in Society.
Eric is a sociologist by trade, and in our conversation, we explore how he has made extensive inroads within the machine learning community through collaborations with ML academics and researchers. We discuss some of the most important lessons Eric has learned while doing interdisciplinary projects, how the social scientist’s approach to assessment and measurement would be different from a computer scientist’s approach to assessing the algorithmic performance of a model.
We specifically explore a few projects he’s worked on including HIV prevention amongst the homeless youth population in LA, a project he spearheaded with former guest Milind Tambe, as well as a project focused on using ML techniques to assist in the identification of people in need of housing resources, and ensuring that they get the best interventions possible.
If you enjoyed this conversation, I encourage you to check out our conversation with Milind Tambe from last year’s TWIMLfest on Why AI Innovation and Social Impact Go Hand in Hand.
Watch on Youtube
Connect with Eric!
- Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe – #422
- California Policy Lab
- Using AI to Augment HIV Prevention Interventions for Homeless Youth: Results from a Large Clinical Trial
- AI and Society: Past, Present and Future with Eric Horvitz – #493
- ICLR-21 Workshop on Responsible AI
- USC CAIS Projects
- TAY Triage Tool
- West Coast Convening
- Coordinated Entry Learning Collaborative
- LGBT Center
- My Friend’s Place
- Safe Place for Youth